
# BWBM3D
@article{dabov2007BM3D,
  title={Image denoising by sparse 3-D transform-domain collaborative filtering},
  author={Dabov, Kostadin and Foi, Alessandro and Katkovnik, Vladimir and Egiazarian, Karen},
  journal={IEEE Transactions on Image Processing},
  volume={16},
  number={8},
  pages={2080--2095},
  year={2007},
  publisher={IEEE}
}

# TDL
@inproceedings{peng2014TDL,
  title={Decomposable nonlocal tensor dictionary learning for multispectral image denoising},
  author={Peng, Yi and Meng, Deyu and Xu, Zongben and Gao, Chenqiang and Yang, Yi and Zhang, Biao},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={2949--2956},
  year={2014}
}

# BM4D
@article{maggioni2013nonlocal,
  title={Nonlocal transform-domain filter for volumetric data denoising and reconstruction},
  author={Maggioni, Matteo and Katkovnik, Vladimir and Egiazarian, Karen and Foi, Alessandro},
  journal={IEEE Transactions on Image Processing},
  volume={22},
  number={1},
  pages={119--133},
  year={2013},
  publisher={IEEE}
}

# ITSReg
@inproceedings{xie2016multispectral,
  title={Multispectral images denoising by intrinsic tensor sparsity regularization},
  author={Xie, Qi and Zhao, Qian and Meng, Deyu and Xu, Zongben and Gu, Shuhang and Zuo, Wangmeng and Zhang, Lei},
  booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={1692--1700},
  year={2016}
}

# BCTF-HSI
@article{WEI2019412,
title = "Low-rank Bayesian tensor factorization for hyperspectral image denoising",
journal = "Neurocomputing",
volume = "331",
pages = "412 - 423",
year = "2019",
issn = "0925-2312",
doi = "https://doi.org/10.1016/j.neucom.2018.10.023",
url = "http://www.sciencedirect.com/science/article/pii/S0925231218312116",
author = "Kaixuan Wei and Ying Fu",
}

# LLRT
@inproceedings{chang2017hyper,
  title={Hyper-laplacian regularized unidirectional low-rank tensor recovery for multispectral image denoising},
  author={Chang, Yi and Yan, Luxin and Zhong, Sheng},
  booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={4260--4268},
  year={2017}
}

# NMoG
@article{chen2017denoising,
  title={Denoising Hyperspectral Image with Non-iid Noise Structure},
  author={Chen, Yang and Cao, Xiangyong and Zhao, Qian and Meng, Deyu and Xu, Zongben},
  journal={arXiv preprint arXiv:1702.00098},
  year={2017}
}

# LRTV
@article{he2016total,
  title={Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration},
  author={He, Wei and Zhang, Hongyan and Zhang, Liangpei and Shen, Huanfeng},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={54},
  number={1},
  pages={178--188},
  year={2016},
  publisher={IEEE}
}

# LRMR
@article{zhang2014hyperspectral,
  title={Hyperspectral image restoration using low-rank matrix recovery},
  author={Zhang, Hongyan and He, Wei and Zhang, Liangpei and Shen, Huanfeng and Yuan, Qiangqiang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={52},
  number={8},
  pages={4729--4743},
  year={2014},
  publisher={IEEE}
}

# LRTDTV
@article{wang2017hyperspectral,
  title={Hyperspectral image restoration via total variation regularized low-rank tensor decomposition},
  author={Wang, Yao and Peng, Jiangjun and Zhao, Qian and Leung, Yee and Zhao, Xi-Le and Meng, Deyu},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2017},
  publisher={IEEE}
}


# PARAFAC
@article{liu2012denoising,
  title={Denoising of hyperspectral images using the PARAFAC model and statistical performance analysis},
  author={Liu, Xuefeng and Bourennane, Salah and Fossati, Caroline},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={50},
  number={10},
  pages={3717--3724},
  year={2012},
  publisher={IEEE}
}


# tSVD
@InProceedings{Zhang_2014_CVPR,
author = {Zhang, Zemin and Ely, Gregory and Aeron, Shuchin and Hao, Ning and Kilmer, Misha},
title = {Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2014}
}

# LLRGTV
@article{he2018hyperspectral,
  title={Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial--Spectral Total Variation},
  author={He, Wei and Zhang, Hongyan and Shen, Huanfeng and Zhang, Liangpei},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={11},
  number={3},
  pages={713--729},
  year={2018},
  publisher={IEEE}
}


# GLF
@inproceedings{zhuang2017hyperspectral,
  title={Hyperspectral image denoising based on global and non-local low-rank factorizations},
  author={Zhuang, Lina and Bioucas-Dias, Jos{\'e} M},
  booktitle={Image Processing (ICIP), 2017 IEEE International Conference on},
  pages={1900--1904},
  year={2017},
  organization={IEEE}
}
